Jundong Li

Cong Shen

Proceedings of the IEEE International Conference on Acoustics, 2024

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models for Data Annotation and Synthesis: A Survey.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Understanding and Modeling Job Marketplace with Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Knowledge Graph-Enhanced Large Language Models via Path Selection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

FastGAS: Fast Graph-based Annotation Selection for In-Context Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Marginal Nodes Matter: Towards Structure Fairness in Graphs.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2023

Second-Order Unsupervised Feature Selection via Knowledge Contrastive Distillation.

[BibT_eX]

[DOI]

Han Yue

Hongfu Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Fairness in Graph Mining: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

Causal Effect Estimation under Interference on Hypergraphs.

[BibT_eX]

[DOI]

AI Matters, June, 2023

Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface.

[BibT_eX]

[DOI]

BioData Min., January, 2023

Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Learning Representations by Graphical Mutual Information Estimation and Maximization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Interpreting Pretrained Language Models via Concept Bottlenecks.

[BibT_eX]

[DOI]

CoRR, 2023

ELEGANT: Certified Defense on the Fairness of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge Editing for Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization.

[BibT_eX]

[DOI]

Yaochen Zhu

Jing Ma

CoRR, 2023

KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Few-shot Node Classification with Extremely Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?

[BibT_eX]

[DOI]

Yushun Dong

Tobias Schnabel

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RELIANT: Fair Knowledge Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Path-Specific Counterfactual Fairness for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Contrastive Meta-Learning for Few-shot Node Classification.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Federated Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fairness in Graph Machine Learning: Recent Advances and Future Prospectives.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning for Counterfactual Fairness from Observational Data.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Learning Causal Effects on Hypergraphs (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Spatial-Temporal Networks for Antibiogram Pattern Prediction.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fair Few-Shot Learning with Auxiliary Sets.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Generative Few-shot Graph Classification: An Adaptive Perspective.

[BibT_eX]

[DOI]

Song Wang

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cross-Domain Graph Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

A Deep Multi-View Framework for Anomaly Detection on Attributed Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

LookCom: Learning Optimal Network for Community Detection.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Gray-Box Shilling Attack: An Adversarial Learning Approach.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.

[BibT_eX]

[DOI]

SIGKDD Explor., 2022

Line Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Contrastive Graph Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Node Outlier Detection on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Explanation for Unsupervised Graph-Level Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Fairness in Graph Mining: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Few-Shot Learning on Graphs: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Causality with Graphs.

[BibT_eX]

[DOI]

Jing Ma

AI Mag., 2022

Unbiased Graph Embedding with Biased Graph Observations.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Fair Node Representations with Graph Counterfactual Fairness.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Minimally-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Empowering Next POI Recommendation with Multi-Relational Modeling.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Contrastive Attributed Network Anomaly Detection with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Graph Few-shot Learning with Task-specific Structures.

[BibT_eX]

[DOI]

Song Wang

Chen Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CLEAR: Generative Counterfactual Explanations on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Task-Adaptive Few-shot Node Classification.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Causal Effects on Hypergraphs.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On Structural Explanation of Bias in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Few-Shot Learning on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Incremental one-class collaborative filtering with co-evolving side networks.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2021

Rumor2vec: A rumor detection framework with joint text and propagation structure representation learning.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Recommender systems based on generative adversarial networks: A problem-driven perspective.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

A Survey of Learning Causality with Data: Problems and Methods.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2021

Weakly-supervised Graph Meta-learning for Few-shot Node Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Neural Networks with Adaptive Frequency Response Filter.

[BibT_eX]

[DOI]

CoRR, 2021

Automated Generation of Interorganizational Disaster Response Networks through Information Extraction.

[BibT_eX]

[DOI]

CoRR, 2021

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.

[BibT_eX]

[DOI]

Nguyen Quoc Viet Hung

Xiangliang Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Deconfounding with Networked Observational Data in a Dynamic Environment.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Toward User Engagement Optimization in 2D Presentation.

[BibT_eX]

[DOI]

Liang Wu

Mihajlo Grbovic

Proceedings of the WSDM '21, 2021

Data Efficient Learning on Graphs.

[BibT_eX]

[DOI]

Chuxu Zhang

Meng Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA).

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Unsupervised Graph Alignment with Wasserstein Distance Discriminator.

[BibT_eX]

[DOI]

Ji Gao

Xiao Huang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Individual Fairness for Graph Neural Networks: A Ranking based Approach.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Automated Generation of Disaster Response Networks through Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

Multi-Cause Effect Estimation with Disentangled Confounder Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fairness-Aware Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

REFORM: Error-Aware Few-Shot Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2020

Nonlinear feature selection on attributed networks.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Using machine learning to predict ovarian cancer.

[BibT_eX]

[DOI]

Int. J. Medical Informatics, 2020

Scalable attack on graph data by injecting vicious nodes.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2020

Enhance Social Recommendation with Adversarial Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Individual Causal Effects from Networked Observational Data.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Inductive Anomaly Detection on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Hierarchical Feature Selection on Networked Data.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2020

Graph Few-shot Learning with Attribute Matching.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Scalable Social Tie Strength Measuring.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Tracking Disaster Footprints with Social Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning with Attributed Networks: Algorithms and Applications.

[BibT_eX]

[DOI]

PhD thesis, 2019

Towards privacy preserving social recommendation under personalized privacy settings.

[BibT_eX]

[DOI]

World Wide Web, 2019

Graph Neural Networks with High-order Feature Interactions.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Individual Treatment Effects from Networked Observational Data.

[BibT_eX]

[DOI]

CoRR, 2019

Interactive Anomaly Detection on Attributed Networks.

[BibT_eX]

[DOI]

Kaize Ding

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

XBully: Cyberbullying Detection within a Multi-Modal Context.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Robust Factorization Machine: A Doubly Capped Norms Minimization.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep Anomaly Detection on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Adaptive Unsupervised Feature Selection on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Structured Cross-Modal Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

InterSpot: Interactive Spammer Detection in Social Media.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

PI-Bully: Personalized Cyberbullying Detection with Peer Influence.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Online Collaborative Filtering with Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Anomaly Detection in Time-Evolving Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2019

SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-level network embedding with boosted low-rank matrix approximation.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Exploiting Multilabel Information for Noise-Resilient Feature Selection.

[BibT_eX]

[DOI]

Ling Jian

ACM Trans. Intell. Syst. Technol., 2018

Toward online node classification on streaming networks.

[BibT_eX]

[DOI]

Ling Jian

Data Min. Knowl. Discov., 2018

Feature Selection: A Data Perspective.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2018

Online Newton Step Algorithm with Estimated Gradient.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation.

[BibT_eX]

[DOI]

Liang Wu

CoRR, 2018

Understanding and Predicting Delay in Reciprocal Relations.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Streaming Link Prediction on Dynamic Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Exploring Expert Cognition for Attributed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Multi-Layered Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Toward Relational Learning with Misinformation.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

On Interpretation of Network Embedding via Taxonomy Induction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interactive Unknowns Recommendation in E-Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Personalized Privacy-Preserving Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Unsupervised Personalized Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Budget Online Learning Algorithm for Least Squares SVM.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Exploiting Expertise Rules for Statistical Data-Driven Modeling.

[BibT_eX]

[DOI]

Ling Jian

Shihua Luo

IEEE Trans. Ind. Electron., 2017

Exploiting statistically significant dependent rules for associative classification.

[BibT_eX]

[DOI]

Intell. Data Anal., 2017

Challenges of Feature Selection for Big Data Analytics.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2017

Understanding and Discovering Deliberate Self-harm Content in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Label Informed Attributed Network Embedding.

[BibT_eX]

[DOI]

Xiao Huang

Xia Hu

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Toward Personalized Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Accelerated Attributed Network Embedding.

[BibT_eX]

[DOI]

Xiao Huang

Xia Hu

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Sentiment Informed Cyberbullying Detection in Social Media.

[BibT_eX]

[DOI]

Harsh Dani

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Unsupervised Feature Selection in Signed Social Networks.

[BibT_eX]

[DOI]

Kewei Cheng

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Reconstruction-based Unsupervised Feature Selection: An Embedded Approach.

[BibT_eX]

[DOI]

Jiliang Tang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Radar: Residual Analysis for Anomaly Detection in Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Attributed Network Embedding for Learning in a Dynamic Environment.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Unsupervised Sentiment Analysis with Signed Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

On discovering co-location patterns in datasets: a case study of pollutants and child cancers.

[BibT_eX]

[DOI]

Mohomed Shazan Mohomed Jabbar

Aibek Adilmagambetov

Alvaro Osornio-Vargas

Osnat Wine

GeoInformatica, 2016

Robust Unsupervised Feature Selection on Networked Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-Label Informed Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Toward Time-Evolving Feature Selection on Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

FeatureMiner: A Tool for Interactive Feature Selection.

[BibT_eX]

[DOI]

Kewei Cheng

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Associative Classification with Statistically Significant Positive and Negative Rules.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Unsupervised Streaming Feature Selection in Social Media.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers.

[BibT_eX]

[DOI]

Aibek Adilmagambetov

Alvaro Osornio-Vargas

Osnat Wine

CoRR, 2014

Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects.

[BibT_eX]

[DOI]

Alvaro Osornio-Vargas

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Active Learning Strategies for Semi-Supervised DBSCAN.

[BibT_eX]

[DOI]

Ricardo J. G. B. Campello

Jörg Sander

Arthur Zimek

Proceedings of the Advances in Artificial Intelligence, 2014

Negative Association Rules.

[BibT_eX]

[DOI]

Luiza Antonie